{
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TIMIT\n",
    "语音语料库，数据是文本形式\n",
    "![%E5%9B%BE%E7%89%87.png](attachment:%E5%9B%BE%E7%89%87.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import nltk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['h#',\n",
       " 'sh',\n",
       " 'iy',\n",
       " 'hv',\n",
       " 'ae',\n",
       " 'dcl',\n",
       " 'y',\n",
       " 'ix',\n",
       " 'dcl',\n",
       " 'd',\n",
       " 'aa',\n",
       " 'kcl',\n",
       " 's',\n",
       " 'ux',\n",
       " 'tcl',\n",
       " 'en',\n",
       " 'gcl',\n",
       " 'g',\n",
       " 'r',\n",
       " 'iy',\n",
       " 's',\n",
       " 'iy',\n",
       " 'w',\n",
       " 'aa',\n",
       " 'sh',\n",
       " 'epi',\n",
       " 'w',\n",
       " 'aa',\n",
       " 'dx',\n",
       " 'ax',\n",
       " 'q',\n",
       " 'ao',\n",
       " 'l',\n",
       " 'y',\n",
       " 'ih',\n",
       " 'ax',\n",
       " 'h#']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "phonetic = nltk.corpus.timit.phones('dr1-fvmh0/sa1')\n",
    "phonetic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('she', 7812, 10610),\n",
       " ('had', 10610, 14496),\n",
       " ('your', 14496, 15791),\n",
       " ('dark', 15791, 20720),\n",
       " ('suit', 20720, 25647),\n",
       " ('in', 25647, 26906),\n",
       " ('greasy', 26906, 32668),\n",
       " ('wash', 32668, 37890),\n",
       " ('water', 38531, 42417),\n",
       " ('all', 43091, 46052),\n",
       " ('year', 46052, 50522)]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nltk.corpus.timit.word_times('dr1-fvmh0/sa1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['g', 'r', 'iy1', 's', 'iy']"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "timitdict = nltk.corpus.timit.transcription_dict()\n",
    "timitdict['greasy']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SpeakerInfo(id='VMH0', sex='F', dr='1', use='TRN', recdate='03/11/86', birthdate='01/08/60', ht='5\\'05\"', race='WHT', edu='BS', comments='BEST NEW ENGLAND ACCENT SO FAR')"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nltk.corpus.timit.spkrinfo('dr1-fvmh0')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 语料库"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.6666666666666666"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s1 = '01010101'\n",
    "s2 = '00001111'\n",
    "s3 = '00001110'\n",
    "\n",
    "# 在指定窗口大小下计算两个字符串的差异大小\n",
    "nltk.windowdiff(s1, s2, 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.16666666666666666"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nltk.windowdiff(s2, s3, 3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 使用XML"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<?xml version=\"1.0\"?>\n",
      "<?xml-stylesheet type=\"text/css\" href=\"shakes.css\"?>\n",
      "<!-- <!DOCTYPE PLAY SYSTEM \"play.dtd\"> -->\n",
      "\n",
      "<PLAY>\n",
      "<TITLE>The Merchant of Venice</TITLE>\n",
      "\n",
      "<!-\n"
     ]
    }
   ],
   "source": [
    "merchant_file = nltk.data.find('corpora/shakespeare/merchant.xml')\n",
    "raw = open(merchant_file).read()\n",
    "print(raw[0: 168])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "from xml.etree import ElementTree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xml.etree.ElementTree.ElementTree at 0x21d7b1ebf70>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merchant = ElementTree.parse(merchant_file)\n",
    "merchant"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['ANTONIO', 'SALARINO', 'SALANIO', 'BASSANIO', 'LORENZO']"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "speaker_seq = [s.text for s in merchant.findall('ACT/SCENE/SPEECH/SPEAKER')]\n",
    "speaker_freq = nltk.FreqDist(speaker_seq)\n",
    "top5 = list(speaker_freq.keys())[:5]\n",
    "top5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 使用Toolbox数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "from nltk.corpus import toolbox"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Element 'lx' at 0x0000021D7CA6C220>"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lexicon = toolbox.xml('rotokas.dic')\n",
    "# 1、索引访问\n",
    "lexicon[3][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'lx'"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lexicon[3][0].tag"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'kaa'"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lexicon[3][0].text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['kaa',\n",
       " 'kaa',\n",
       " 'kaa',\n",
       " 'kaakaaro',\n",
       " 'kaakaaviko',\n",
       " 'kaakaavo',\n",
       " 'kaakaoko',\n",
       " 'kaakasi',\n",
       " 'kaakau',\n",
       " 'kaakauko']"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 2、路径访问\n",
    "[lexeme.text.lower() for lexeme in lexicon.findall('record/lx')][:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<table>\n",
      "  <tr><td>kakae</td><td>???</td><td>small</td></tr>\n",
      "  <tr><td>kakae</td><td>CLASS</td><td>child</td></tr>\n",
      "  <tr><td>kakaevira</td><td>ADV</td><td>small-like</td></tr>\n",
      "  <tr><td>kakapikoa</td><td>???</td><td>small</td></tr>\n",
      "  <tr><td>kakapikoto</td><td>N</td><td>newborn baby</td></tr>\n",
      "  <tr><td>kakapu</td><td>V</td><td>place in sling for purpose of carrying</td></tr>\n",
      "  <tr><td>kakapua</td><td>N</td><td>sling for lifting</td></tr>\n",
      "  <tr><td>kakara</td><td>N</td><td>arm band</td></tr>\n",
      "  <tr><td>Kakarapaia</td><td>N</td><td>village name</td></tr>\n",
      "  <tr><td>kakarau</td><td>N</td><td>frog</td></tr>\n",
      "</table>\n"
     ]
    }
   ],
   "source": [
    "# 格式化\n",
    "html = '<table>\\n'\n",
    "for entry in lexicon[70: 80]:\n",
    "    lx = entry.findtext('lx')\n",
    "    ps = entry.findtext('ps')\n",
    "    ge = entry.findtext('ge')\n",
    "    html += '  <tr><td>%s</td><td>%s</td><td>%s</td></tr>\\n' % (lx, ps, ge)\n",
    "    \n",
    "html += '</table>'\n",
    "print(html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "13.635955056179775"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 为每个条目计算字段的平均个数\n",
    "from nltk.corpus import toolbox\n",
    "\n",
    "lexicon = toolbox.xml('rotokas.dic')\n",
    "sum(len(entry) for entry in lexicon) / len(lexicon)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 使用OLAC元数据\n",
    "元数据：关于数据的结构化数据\n",
    "\n",
    "OLAC：开放语言档案社区"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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